IOWA Wild

GP: 7 | W: 6 | L: 0 | OTL: 1 | P: 13
GF: 50 | GA: 10 | PP%: 23.08% | PK%: 90.48%
DG: Martin Gagnon | Morale : 99 | Moyenne d'Équipe : 61
Prochain matchs #96 vs PV Sharapovas
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Jason Dickinson0X100.007441736880828067757064716654517795700
2Tyler Motte0X100.008735756669808765596465726556525798700
3Drake Caggiula0X100.008444717066826869626869666957524298690
4Iiro Pakarinen0X100.007241826778747559305963686955534298660
5Peter Holland0XX100.005689607081505070706565506561537098610
6Matej Stransky (R)0X100.005338706980505761305259515760507198590
7Yakov Trenin0X100.005589646781505067705858565850504498590
8Owen Tippett (R)0X100.005540826676722956305656606450508898580
9Stanislav Galiev0X100.004935787074474060305254565562516398560
10Joseph Cramarossa0X100.005089466373505063505353505352515698550
11Tanner Kaspick (R)0X100.005189675774505057705454505450504498550
12Will Butcher0X100.006135786968839169307160667056525791690
13Madison Bowey0X100.007247726580776364306359726754516898660
14Mark Alt0X100.005935676487505164304944505451505898560
15Matt Bartkowski0X100.005435626177485161304843545460583898550
16Konrad Abeltshauser (R)0X100.004935786088454049303428554860557192500
Rayé
1Yannick Veilleux0X100.005489585779505057505454515450505998550
2Ian McCoshen0X100.006635666087555960304846575652517692580
3Keegan Lowe0X100.005189586376495063304540555050506293540
MOYENNE D'ÉQUIPE100.00615469657860576244565458595552609760
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Alex Stalock100.00797276747877797877787359693798680
2Eric Comrie100.00777094727675777675767150646797670
Rayé
MOYENNE D'ÉQUIPE100.0078718573777678777677725567529868
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx67676767727268CAN53275,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Peter HollandIOWA Wild (MIN)C/LW7413171810081448299.09%312618.0502244000391086.67%1500002.6900000101
2Drake CaggiulaIOWA Wild (MIN)C64913112012332202212.50%27612.7300000000291072.15%7900003.4000000021
3Tyler MotteIOWA Wild (MIN)LW694139202396094615.00%013422.440114120004201057.14%1400011.9301000120
4Owen TippettIOWA Wild (MIN)RW775121300113381521.21%27811.2500000000001162.50%800003.0500000110
5Madison BoweyIOWA Wild (MIN)D6381117601262671511.54%516327.30000712000115100.00%000001.3400000101
6Yakov TreninIOWA Wild (MIN)C7369920982782911.11%17811.2300000000000085.23%8800002.2900000000
7Jason DickinsonIOWA Wild (MIN)C6448740675112347.84%310217.150003100003100076.03%14600011.5501000010
8Iiro PakarinenIOWA Wild (MIN)RW73587401456618514.55%312417.81101312000000063.64%1100001.2800000001
9Stanislav GalievIOWA Wild (MIN)RW716790026349282.94%17110.2000000000000066.67%300001.9600000000
10Mark AltIOWA Wild (MIN)D706618601428180.00%215522.2400009000113000.00%000000.7700000000
11Tanner KaspickIOWA Wild (MIN)C624680083132515.38%2569.4900001000070094.12%1700002.1100000100
12Matt BartkowskiIOWA Wild (MIN)D6145110014061516.67%113222.03011210000015000.00%000000.7600000000
13Matej StranskyIOWA Wild (MIN)RW72351000633510235.71%110615.15011210000000080.00%500000.9400000000
14Ian McCoshenIOWA Wild (MIN)D613413204381312.50%314023.4600019000012000.00%000000.5700000100
15Yannick VeilleuxIOWA Wild (MIN)LW621374023152613.33%16611.0400000000001033.33%300000.9100000000
16Will ButcherIOWA Wild (MIN)D1022300001000.00%02323.920000000000000.00%000001.6700000000
17Kyle BrodziakMINNESOTA WildC1101-1002430233.33%02323.2710121000030053.13%3200000.8600000000
18Keegan LoweIOWA Wild (MIN)D1011200005110.00%01616.850000000000000.00%000001.1900000000
19Joseph CramarossaIOWA Wild (MIN)C7000100001010.00%0142.1200000000000083.33%600000.0000000000
Stats d'équipe Total ou en Moyenne10747841311724201376446811732310.04%30169415.832572895000141186175.18%42700021.5502000664
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Alex StalockIOWA Wild (MIN)76010.9221.274252091160000.667370100
Stats d'équipe Total ou en Moyenne76010.9221.274252091160000.667370100


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex StalockIOWA Wild (MIN)G321987-07-28No90 Kg183 CMNoNoNo3Pro & Farm800,000$727,927$800,000$727,927$0$0$No800,000$800,000$Lien
Drake CaggiulaIOWA Wild (MIN)C271992-01-09 14:02:10No80 Kg178 CMNoNoNo1Pro & Farm1,500,000$1,364,864$1,500,000$1,364,864$0$0$NoLien
Eric ComrieIOWA Wild (MIN)G241995-07-06No80 Kg185 CMNoNoNo1Pro & Farm925,000$841,666$925,000$841,666$0$0$NoLien
Ian McCoshenIOWA Wild (MIN)D241995-08-05No99 Kg191 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Iiro PakarinenIOWA Wild (MIN)RW281991-08-25No96 Kg185 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Jason DickinsonIOWA Wild (MIN)C241995-07-04No91 Kg188 CMNoNoNo3Pro & Farm900,000$818,918$900,000$818,918$0$0$No900,000$900,000$Lien
Joseph CramarossaIOWA Wild (MIN)C261992-10-26No87 Kg183 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Keegan LoweIOWA Wild (MIN)D261993-03-29No88 Kg185 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Konrad AbeltshauserIOWA Wild (MIN)D261992-09-02Yes102 Kg196 CMNoNoNo3Pro & Farm1,500,000$1,364,864$1,500,000$1,364,864$0$0$No1,500,000$1,500,000$
Madison BoweyIOWA Wild (MIN)D241995-04-22No90 Kg188 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Mark AltIOWA Wild (MIN)D271991-10-18No91 Kg193 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Matej StranskyIOWA Wild (MIN)RW261993-07-11Yes95 Kg191 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$
Matt BartkowskiIOWA Wild (MIN)D311988-06-04No90 Kg185 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Owen TippettIOWA Wild (MIN)RW201999-02-16Yes91 Kg185 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Peter HollandIOWA Wild (MIN)C/LW281991-01-14No93 Kg188 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Stanislav GalievIOWA Wild (MIN)RW271992-01-17No90 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$
Tanner KaspickIOWA Wild (MIN)C211998-01-28Yes91 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Tyler MotteIOWA Wild (MIN)LW241995-03-10No87 Kg178 CMNoNoNo4Pro & Farm800,000$727,927$800,000$727,927$0$0$No800,000$800,000$800,000$Lien
Will ButcherIOWA Wild (MIN)D241995-01-06No86 Kg178 CMNoNoNo3Pro & Farm950,000$864,414$950,000$864,414$0$0$No950,000$950,000$Lien
Yakov TreninIOWA Wild (MIN)C221997-01-13No91 Kg188 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Yannick VeilleuxIOWA Wild (MIN)LW261993-02-22No89 Kg188 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.5790 Kg185 CM2.90851,190$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler MotteJason DickinsonOwen Tippett31122
2Peter HollandDrake CaggiulaMatej Stransky26122
3Yakov TreninIiro Pakarinen23122
4Tyler MotteJoseph CramarossaStanislav Galiev20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Will ButcherMadison Bowey31122
2Mark Alt26122
3Matt Bartkowski23122
4Will ButcherMadison Bowey20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler MotteJason DickinsonOwen Tippett55122
2Peter HollandDrake CaggiulaMatej Stransky45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Will ButcherMadison Bowey55122
2Mark Alt45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonTyler Motte55122
2Drake CaggiulaPeter Holland45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Will ButcherMadison Bowey55122
2Mark Alt45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jason Dickinson55122Will ButcherMadison Bowey55122
2Drake Caggiula45122Mark Alt45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonTyler Motte55122
2Drake CaggiulaOwen Tippett45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Will ButcherMadison Bowey55122
2Mark Alt45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler MotteJason DickinsonOwen TippettWill ButcherMadison Bowey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler MotteJason DickinsonDrake CaggiulaMatt BartkowskiMadison Bowey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Owen Tippett, Jason Dickinson, Drake CaggiulaJason Dickinson, Owen TippettPeter Holland
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Will Butcher, Madison Bowey, Matt BartkowskiMark AltMadison Bowey, Matt Bartkowski
Tirs de Pénalité
Owen Tippett, Jason Dickinson, Drake Caggiula, Tyler Motte, Will Butcher
Gardien
#1 : Alex Stalock, #2 : Eric Comrie
Lignes d'Attaque Perso. en Prol.
Tyler Motte, Jason Dickinson, Drake Caggiula, Iiro Pakarinen, Peter Holland, Matej Stransky, Matej Stransky, Yakov Trenin, Owen Tippett, Stanislav Galiev,
Lignes de Défense Perso. en Prol.
Will Butcher, Madison Bowey, , Mark Alt, Matt Bartkowski


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total7600000150104033000000224184300000128622130.92950921420026141005101481731893116304413913323.08%21290.48%022732969.00%7414850.00%7310966.97%26822288296842
_Since Last GM Reset7600000150104033000000224184300000128622130.92950921420026141005101481731893116304413913323.08%21290.48%022732969.00%7414850.00%7310966.97%26822288296842
_Vs Conference650000014683833000000224183200000124420110.9174684130002614100477148173189381243612312216.67%18194.44%022732969.00%7414850.00%7310966.97%26822288296842
_Vs Division300000013132810000000817200000012322110.1673156870026141003171481731893193457000.00%20100.00%022732969.00%7414850.00%7310966.97%26822288296842

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
713W45092142510116304413900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
76000015010
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000224
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4300001286
Derniers 10 Matchs
WLOTWOTL SOWSOL
600001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
13323.08%21290.48%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
14817318932614100
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
22732969.00%7414850.00%7310966.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
26822288296842


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-01-1510BELLEVILLE Senators1IOWA Wild8WSommaire du Match
2 - 2020-01-1625IOWA Wild4TUSCON Roadrunners2WSommaire du Match
3 - 2020-01-1729IOWA Wild1LEHIGH VALLEY Phantoms2LXXSommaire du Match
4 - 2020-01-1842Manitoba Moose2IOWA Wild8WSommaire du Match
5 - 2020-01-1960Manitoba Moose1IOWA Wild6WSommaire du Match
7 - 2020-01-2167IOWA Wild14CORNWALL Aces1WSommaire du Match
9 - 2020-01-2387IOWA Wild9CORNWALL Aces1WSommaire du Match
11 - 2020-01-2596IOWA Wild-PV Sharapovas-
13 - 2020-01-27106HOLLYWOOD Oscar-IOWA Wild-
15 - 2020-01-29122Syracruse Crunch-IOWA Wild-
17 - 2020-01-31131IOWA Wild-STOCKTON Flames-
19 - 2020-02-02147UTICA Comets-IOWA Wild-
21 - 2020-02-04159WILKIES-BARRIE Penguins-IOWA Wild-
22 - 2020-02-05173IOWA Wild-WILKIES-BARRIE Penguins-
24 - 2020-02-07191Manitoba Moose-IOWA Wild-
25 - 2020-02-08204IOWA Wild-LEHIGH VALLEY Phantoms-
26 - 2020-02-09218COLORADO Eagles-IOWA Wild-
27 - 2020-02-10229IOWA Wild-HERSEY Bears-
28 - 2020-02-11242BROOKLYN Wolfpack-IOWA Wild-
30 - 2020-02-13256IOWA Wild-HOLLYWOOD Oscar-
31 - 2020-02-14269Binghampton Devils-IOWA Wild-
33 - 2020-02-16284IOWA Wild-MILWAUKEE Admirals-
34 - 2020-02-17296Marlies de Toronto-IOWA Wild-
35 - 2020-02-18311IOWA Wild-Marlies de Toronto-
37 - 2020-02-20321PROVIDENCE Bruins-IOWA Wild-
38 - 2020-02-21336IOWA Wild-LAVAL Rockets-
39 - 2020-02-22348CHICAGO Wolves-IOWA Wild-
41 - 2020-02-24366IOWA Wild-LEHIGH VALLEY Phantoms-
42 - 2020-02-25374IOWA Wild-WILKIES-BARRIE Penguins-
43 - 2020-02-26383LAVAL Rockets-IOWA Wild-
44 - 2020-02-27397CORNWALL Aces-IOWA Wild-
45 - 2020-02-28417Syracruse Crunch-IOWA Wild-
46 - 2020-02-29426IOWA Wild-SAN DIEGO Gulls-
48 - 2020-03-02445WILKIES-BARRIE Penguins-IOWA Wild-
49 - 2020-03-03458IOWA Wild-PV Sharapovas-
50 - 2020-03-04462IOWA Wild-PROVIDENCE Bruins-
52 - 2020-03-06476STOCKTON Flames-IOWA Wild-
53 - 2020-03-07495Manitoba Moose-IOWA Wild-
54 - 2020-03-08503IOWA Wild-Manitoba Moose-
56 - 2020-03-10516IOWA Wild-HOLLYWOOD Oscar-
57 - 2020-03-11530IOWA Wild-VICTORIAVILLE Tigres-
58 - 2020-03-12538HERSEY Bears-IOWA Wild-
60 - 2020-03-14554MILWAUKEE Admirals-IOWA Wild-
61 - 2020-03-15573IOWA Wild-VICTORIAVILLE Tigres-
62 - 2020-03-16579HOLLYWOOD Oscar-IOWA Wild-
63 - 2020-03-17590IOWA Wild-ROCKFORD IceHogs-
64 - 2020-03-18605IOWA Wild-COLORADO Eagles-
65 - 2020-03-19615IOWA Wild-Manitoba Moose-
66 - 2020-03-20625TUSCON Roadrunners-IOWA Wild-
68 - 2020-03-22641STOCKTON Flames-IOWA Wild-
69 - 2020-03-23659HOLLYWOOD Oscar-IOWA Wild-
70 - 2020-03-24677UTICA Comets-IOWA Wild-
72 - 2020-03-26688IOWA Wild-CHICAGO Wolves-
73 - 2020-03-27703IOWA Wild-MONT-LAURIER Sommet-
74 - 2020-03-28709IOWA Wild-Marlies de Toronto-
75 - 2020-03-29721SAN DIEGO Gulls-IOWA Wild-
76 - 2020-03-30733IOWA Wild-BROOKLYN Wolfpack-
77 - 2020-03-31745MONT-LAURIER Sommet-IOWA Wild-
78 - 2020-04-01763IOWA Wild-CORNWALL Aces-
79 - 2020-04-02774PV Sharapovas-IOWA Wild-
81 - 2020-04-04786IOWA Wild-MONT-LAURIER Sommet-
82 - 2020-04-05797PV Sharapovas-IOWA Wild-
83 - 2020-04-06812Binghampton Devils-IOWA Wild-
84 - 2020-04-07825IOWA Wild-ROCKFORD IceHogs-
85 - 2020-04-08838IOWA Wild-BRIDGEPORT Sound Tigers-
87 - 2020-04-10849VICTORIAVILLE Tigres-IOWA Wild-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11865LEHIGH VALLEY Phantoms-IOWA Wild-
90 - 2020-04-13880IOWA Wild-Syracruse Crunch-
91 - 2020-04-14891CORNWALL Aces-IOWA Wild-
92 - 2020-04-15905IOWA Wild-Binghampton Devils-
93 - 2020-04-16916IOWA Wild-BELLEVILLE Senators-
94 - 2020-04-17927LEHIGH VALLEY Phantoms-IOWA Wild-
95 - 2020-04-18943IOWA Wild-BELLEVILLE Senators-
96 - 2020-04-19951BELLEVILLE Senators-IOWA Wild-
97 - 2020-04-20964IOWA Wild-Syracruse Crunch-
98 - 2020-04-21976VICTORIAVILLE Tigres-IOWA Wild-
99 - 2020-04-22986IOWA Wild-STOCKTON Flames-
101 - 2020-04-241002MONT-LAURIER Sommet-IOWA Wild-
104 - 2020-04-271022ROCKFORD IceHogs-IOWA Wild-
105 - 2020-04-281030IOWA Wild-UTICA Comets-
108 - 2020-05-011050BRIDGEPORT Sound Tigers-IOWA Wild-
109 - 2020-05-021053IOWA Wild-Binghampton Devils-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
174,278$ 1,787,500$ 1,787,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 167,520$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 101 16,779$ 1,694,679$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
3376000001501040330000002241843000001286221350921420026141005101481731893116304413913323.08%21290.48%022732969.00%7414850.00%7310966.97%26822288296842
Total Saison Régulière76000001501040330000002241843000001286221350921420026141005101481731893116304413913323.08%21290.48%022732969.00%7414850.00%7310966.97%26822288296842